Evidence map›Paper›PMID 32463378›Full record

ArticleJournal of medical Internet research2020

Internet of Things Smart Sunscreen Station: Descriptive Proof-of-Concept Study.

Helen Ford, Jeremy Herbert, Caitlin Horsham, Alexander Wall, Elke Hacker

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Helen Ford *Institute of Health and Biomedical Innovation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0001-8011-4582
Jeremy Herbert *Designworks Group Pty Ltd, Brisbane, Australia.ORCID 0000-0002-1803-540X
Caitlin Horsham *Institute of Health and Biomedical Innovation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0002-0354-3583
Alexander WallDesignworks Group Pty Ltd, Brisbane, Australia.ORCID 0000-0002-4089-2790
Elke HackerInstitute of Health and Biomedical Innovation, School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia.ORCID 0000-0003-2759-8244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkin cancer is the most prevalent but also most preventable cancer in Australia. Outdoor workers are at increased risk of developing skin cancer, and improvements in sun protection are needed. Sunscreen, when applied at the recommended concentration (2 mg/cm

objectiveThe primary aim of this study was to test an Internet of Things approach by deploying a smart sunscreen station to an outdoor regional mining site.

methodsWe deployed a smart sunscreen station and examined the key technological considerations including connectivity, security, and data management systems.

resultsThe smart sunscreen station was deployed for 12 days at a mining workplace (Dalby, Australia). The smart sunscreen station's electrical components remained operational during field testing, and data were received by the message queuing telemetry transport server automatically at the end of each day of field testing (12/12 days, 100% connectivity).

conclusionsThis study highlights that an Internet of Things technology approach can successfully measure sunscreen usage and temperature storage conditions.

Indexed as

FemaleHumansInternet of ThingsMaleProof of Concept StudySkin NeoplasmsSunscreening AgentsSunscreening Agentshealth promotionmelanomapreventive medicinepublic healthskin neoplasmsweb applications

Identifiers

PMID32463378
PMCPMC7290422

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.